代码搜索：Matlab;trainning
找到约 10,000 项符合「Matlab;trainning」的源代码
代码结果 10,000
www.eeworm.com/read/491219/6441854
h model.h
//
//Please find details of the method from
//
// Q. Zhang, A. Zhou and Y. Jin, "RM-MEDA: A Regularity Model Based Multiobjective Estimation of Distribution Algorithm", IEEE Trans. Evolutionary Com
www.eeworm.com/read/396522/8101736
java testingpoint.java
import java.io.*;
import java.util.*;
import java.lang.Math;
public class TestingPoint{
public double position[]={0.0,0.0,0.0,0.0}; //vector
public double DefaultClassify; //result
public
www.eeworm.com/read/388580/8599119
matlab-
www.eeworm.com/read/427825/8917918
matlab-
www.eeworm.com/read/177485/9451047
doc matlab ʽӦ.doc
www.eeworm.com/read/247635/6940528
matlab+
www.eeworm.com/read/207453/7110466
ofdm matlab
www.eeworm.com/read/438063/7737342
matlab+
www.eeworm.com/read/128550/14291361
matlab-
www.eeworm.com/read/227598/14420340
txt matlab).txt
神经网络算法(matlab)
function a=bpnet(p)
net=newff([-1 2;0 5],[3,1],{'tansig','purelin'},'traingd');%创建一前馈BP网络：
net=init(net);%初始化一个神经网络
%初始化函数被newff所调用。因此当网络创建时，它根据缺省的参数自动初始化。
%init不需要单独的调用。可是我们